Transit time during the interparticle percolation process

Abstract

A numerical investigation of jamming effect during the spontaneous interparticle percolation process of small beads through an unconsolidated porous media has been performed. The size ratio between the moving beads and the ones building up the porous medium was chosen larger than the geometrical trapping threshold: ξ(c)=(2/√3]-1)(-1)=6.464.... In this paper, we used the discrete element method algorithm to study the rebounds of particles on the top of the porous medium and the transit times of an assembly of particles through it. Several parameters such as the number of injected particles, the size ratio between beads, and the energy restitution coefficient are investigated. This study leads to give some important results of the evolution of the transit time versus the contiguous volume occupied by the percolating particles.

Role of blockages in particle transport through homogeneous granular assemblies

“…3 we show how v w /v 0,w decreases with C, whereas v p /v w grows because a higher number of transported particles in the voids increases T and reduces T p . These results are similar to those of particle percolation by gravity [27][28][29].…”

“…Then v p is parallel to v w and v w is always higher, and often much higher, than v p . For a given porous medium, v p /v w depends on the size of the particles with respect to that of pores, their shape, the interparticle friction and the value of C, as has been shown in interparticle percolation by gravity [26][27][28][29]. The dispersion mechanism is exhibited in a frame of reference that moves with the center of mass of the cloud of particles.…”

A numerical analysis of pressure drop and particle capture efficiency by rectangular fibers using LB-DE methods

“…In order to avoid this consumption, a doubly linkedlist method [36] is implemented to optimize interaction search. We used "linear spring dashpot" (LSD) model [37,46] to calculate the normal force F n and an extension method proposed by Cundall and Strack [35] to compute the tangential force F s respectively. The expressions are given by:…”

“…This can be achieved through the lattice Boltzmann method (LBM) and the discrete element method (DEM). Interparticle interactions can be simulated with the widely used DEM [35,36,37]. Therefore, the coupled methods, LBM for the fluid flow and DEM for interparticle interactions, provide an accurate and predictive tool for simulating fluid-particle problems, as the one treated in this paper [38,39].…”

An unresolved CFD-DEM method for studying migration and clogging of fine particles through a packed bed

“…Dong et al conducted experiments to better understand the migration and deposition behaviour of fines in ironmaking blast furnaces [11]. Through experimental and numerical research, Lominé et al examined how fines flow through a three-dimensional packed bed and how important factors such as the quantity of injection, size ratio, and physical characteristics affect the efficiency of the collection [12][13][14]. Takahashi et al conducted the infiltration and clogging transported through the updraft of a filled bed, and they proposed that the critical diameter ratio where clogging occurs is greater than 0.12 [15].…”